Likelihood-based image segmentation and classification: A framework for the integration of expert knowledge in image classification procedures

International Journal of Applied Earth Observation and Geoinformation

Volumn 2000, Issue 2, 2000, Pages 104-119

  Abkar, Ali Akbar ^a   Sharifi, Mohammed Ali ^b   Mulder, Nanno J ^c  

^a SOIL CONSERVATION AND WATERSHED MANAGEMENT RESEARCH INSTITUTE   (Iran)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Deforestation; Hypothesis driven classification; Knowledge integration in classification; Likelihood based segmentation; Object maximum likelihood; Remote sensing

Indexed keywords

DEFORESTATION; IMAGE CLASSIFICATION; REMOTE SENSING; SEGMENTATION;

CHIANG MAI PROVINCE; PHRAO; THAILAND;

EID: 0009801018     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Likelihood-based segmentation and classification of remotely sensed images - A Bayesian optimisation approach for combining RS and GIS
2. Knowledge-based classification method for mapping of land cover using high resolution satellite data
3. Likelihood-based classification of high resolution images to generate the initial topology and geometry of land cover segments
4. Prediction of deforestation using area production model and GIS. A case study of Phrao, Chiangmai, Thailand
5. Delphi2 creative technologies GmbH, Germany: Object-oriented and multi-scale image analysis in semantic networks
6. Knowledge-based land use and land cover mapping
7. Remote sensing and geographic information systems: Towards integrated spatial information processing
8. Integration of remote sensing and GIS: Data and data access
9. Probabilistic segmentation of remotely sensed images
10. Remote sensing of terrestrial ecosystem structure: An ecologist's pragmatic view
11. Cooperative algorithms and techniques of image analysis and GIS
12. Techniques for combining Landsat and ancillary data for digital classification improvement
13. Amerinex A.I.'s internet home page. This contains links to IUE pages and to other image understanding pages from Amerinex A.I. and other sites
14. Methodology for updating terrain object data from remote sensing data; the application of Landsat TM data with respect to agricultural fields
15. Integrating topographic data with remote sensing for land-cover classification
16. The development of the image understanding environment
17. The use of digital map data in the segmentation and classification of remotely-sensed images
18. Implementation of temporal relationships in knowledge based classification of satellite images
19. A theory of geoinformatics with a sub-theory for image analysis of RS-data, the integration of GIS & RS, model based image analysis
20. Knowledge engineering in RS and knowledge based systems in GIS
21. Multisensor image fusion in remote sensing: Concepts, methods and applications
22. Integrated methodology for segmentation of large satellite images in land applications of remote sensing
23. Crop inventory through remote sensing: Problems of operationalization
24. On the nature of models in remote sensing
25. Knowledge-based segmentation of Landsat images
26. Integrating GIS's and remote sensing image analysis systems by unifying knowledge representation schemes